I'm Jacob, Head of Data at Liquid AI!
- Ph.D. in Theoretical Physics, Stanford University
- B.S. in Intensive Physics, Math & Philosophy, Yale University
I regularly contribute to technical topics on Medium, where I have over 8,000 followers. My writings cover AI, ML, computer vision, data cleaning and curation, and more!
See popular articles
How I Turned My Company's Docs into a Searchable Database with OpenAI
How I Turned My Company's Docs into a Searchable Database with OpenAI
April 25, 2023 | Towards Data Science
In this article, I discuss how I leveraged OpenAI's GPT-3 to turn my company's documentation into a searchable database. This project simplifies the way we access and interact with internal resources, enhancing productivity.
April 25, 2023 | Towards Data Science
In this article, I discuss how I leveraged OpenAI's GPT-3 to turn my company's documentation into a searchable database. This project simplifies the way we access and interact with internal resources, enhancing productivity.
How I Turned ChatGPT into an SQL-Like Translator for Image and Video Datasets
How I Turned ChatGPT into an SQL-Like Translator for Image and Video Datasets
June 08, 2023 | Towards Data Science
In this article, I discuss how I used GPT-3.5 to create a text-to-query translator that allows users to interact with image and video datasets using natural language.
June 08, 2023 | Towards Data Science
In this article, I discuss how I used GPT-3.5 to create a text-to-query translator that allows users to interact with image and video datasets using natural language.
What I Learned Pushing Prompt Engineering to the Limit
What I Learned Pushing Prompt Engineering to the Limit
June 12, 2023 | Towards Data Science
In this article, I share my experiences and lessons learned from pushing the boundaries of prompt engineering. Using advanced techniques, I explore how to make the most out of language models for various applications.
June 12, 2023 | Towards Data Science
In this article, I share my experiences and lessons learned from pushing the boundaries of prompt engineering. Using advanced techniques, I explore how to make the most out of language models for various applications.
AI Telephone β A Battle of Multimodal Models
AI Telephone β A Battle of Multimodal Models
Jun 15, 2023 | Towards Data Science
In this article, I explore the competitive landscape of multimodal AI models by setting up an "AI Telephone" experiment. I discuss the intricacies of various models and how they perform in this unique setup.
Jun 15, 2023 | Towards Data Science
In this article, I explore the competitive landscape of multimodal AI models by setting up an "AI Telephone" experiment. I discuss the intricacies of various models and how they perform in this unique setup.
An Ode to my Physics Ph.D.
An Ode to my Physics Ph.D.
July 18, 2023 | Towards Data Science
In this article, I open up on the journey from physics to machine learning, the challenge of transitioning into industry, and lessons learned along the way!
July 18, 2023 | Towards Data Science
In this article, I open up on the journey from physics to machine learning, the challenge of transitioning into industry, and lessons learned along the way!
How to Build a Semantic Search Engine for Emojis
How to Build a Semantic Search Engine for Emojis
January 09, 2024 | Towards Data Science
In this article, I detail the process of building a custom vector search pipeline utilizing multimodal data, cross-encoders, and reranking!
January 09, 2024 | Towards Data Science
In this article, I detail the process of building a custom vector search pipeline utilizing multimodal data, cross-encoders, and reranking!
- βοΈ Physics
- π Climate
- π Open source | Open science
- π« Building with purpose